How to Use the Evolio MCP in Vercel AI SDK

Q: How do I connect the Evolio MCP Server to the Vercel AI SDK?

Use createMCPClient with an HTTP transport URL. Call mcpClient.tools() and pass the array directly to your streamText function.

Q: Can the Vercel AI SDK stream tasks created in Evolio?

Yes. When the agent calls createtask, the SDK's streaming capabilities push the confirmation and task details straight to your UI components.

Q: How does Evolio handle data privacy for coaching files?

Client intake forms and session notes accessed via getcase stay within the V8 Isolate Sandbox. Vinkius drops the ephemeral container the second your connection closes, leaving zero residual data.

Build live coaching portals where case updates and client tasks stream straight to your React frontends using the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Evolio MCP to Vercel AI SDK

Create your Vinkius account to connect Evolio to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Evolio with Vercel AI SDK

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Stream Client Data to UI

The `list_clients` and `get_client` tools pull your roster directly into the frontend. When your AI client fetches a specific profile, the Vercel AI SDK streams that data right into your React components without a loading spinner. You don't wait for the entire payload. The moment `list_client_files` finds a coaching contract or intake form, the user sees it appear on their dashboard.

Real-Time Case Updates with Evolio MCP Server

Use `create_case` and `update_case` to modify coaching sessions while the user interacts with the chat UI. If a coach sets a new goal, the agent fires `create_task` in the background. Because the Vercel AI SDK handles the streaming state, the new task drops into the user's view instantly. You get immediate visual feedback when querying `list_tasks_by_case` during a live session.

Instant Backend Verification

Run `check_evolio_status` before initiating heavy data pulls to ensure the backend is ready. If a client asks for their session notes, the agent triggers `list_case_files`. The system reads the documents and streams the text back to the user. You build responsive applications where coaching progress feels instant.

Setup guide

Set up Evolio MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Evolio tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Evolio transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Evolio. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about Evolio MCP in Vercel AI SDK

Use `createMCPClient` with an HTTP transport URL. Call `mcpClient.tools()` and pass the array directly to your `streamText` function.

Yes. When the agent calls `create_task`, the SDK's streaming capabilities push the confirmation and task details straight to your UI components.

The MCP protocol handles auth at the transport layer. You pass your endpoint token once, and the Vercel AI SDK maintains the connection for all subsequent tool calls.

The agent processes the JSON response in chunks. Your frontend starts rendering the first few cases while the rest of the payload finishes arriving.

Client intake forms and session notes accessed via `get_case` stay within the V8 Isolate Sandbox. Vinkius drops the ephemeral container the second your connection closes, leaving zero residual data.

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